MODRIO brings online optimal operation to the energy industry
Modelon finalizes contribution to the three year European ITEA research project MODRIO (Model Driven Physical Systems Operation).
As part of the MODRIO project, Modelon developed several tools for optimal process control and applied them to increase flexibility of power plant operation.
The Modelon deliverables for the project include the following:
- Demonstrators for thermal power plant optimization to reduce time and cost of start-ups and increase the income from electricity sales.
- A tool for Nonlinear Model Predictive Control (NMPC) for optimization-based process controls
- A tool for state estimation from sensor measurement data using Moving Horizon Estimation (MHE) and a prototype for Unscented Kalman Filter (UKF) for the NMPC applications.
- A tool for grey-box-identification, to estimate the values of unknown or uncertain parameters in process models.
- A new Python-based optimization toolchain, for integration of the tool suite.
All results of the project have been implemented in the open source code platform JModelica.org.
The tools have been tested on thermal power plant applications in collaboration with Vattenfall and Siemens. NMPC has also been tested in real time application in lab scale in collaboration with the Department of Automatic Control, Lund University.
“The approach of combining tool development with applications to create demonstrators together with industrial partners proved to be very fruitful”, says JModelica.org developer Toivo Henningsson.
The project demonstrates Modelon’s position as a key player in the field of optimization-based control for physical systems.
Do not hesitate to contact us if you want to find out more about the developed capabilities!
- Dietl, K., et al., Industrial application of optimization with Modelica and Optimica using intelligent Python scripting, Proceedings of the 10th International Modelica Conference, March 10-12, 2014, Lund, Sweden, pp. 777-786
- Hartlep, C., Henningsson, T., NMPC Application using JModelica.org: Features and Performance, Proceedings of the 11th International Modelica Conference, September 21-23, 2015, Versailles, France, pp. 321-327
- Runvik, H., et al., Production Planning for Distributed District Heating Networks with JModelica.org, Proceedings of the 11th International Modelica Conference, September 21-23, 2015, Versailles, France, pp. 217-224. Work co-funded by Värmeforsk.
- Axelsson, M. et al., A Framework for Nonlinear Model Predictive Control in JModelica.org, Proceedings of the 11th International Modelica Conference, September 21-23, 2015, Versailles, France, pp. 301-310.